Right populations for running Neolithic model

[Genetics189291]

Anyone have success with right populations modelling Moroccans or Algerians i seem to be having a lot of trouble getting a working model

[Archetype0ne]

Anyone have success with right populations modelling Moroccans or Algerians i seem to be having a lot of trouble getting a working model

Not sure if there are papers published about this time period in N.Africa, but using their tale is the safest place to start.

[Genetics189291]

Anyone have success with right populations modelling Moroccans or Algerians i seem to be having a lot of trouble getting a working model

Not sure if there are papers published about this time period in N.Africa, but using their tale is the safest place to start.

I tried looking but from what I could see they use gp4pg or from what I recall some don’t even disclose the outgroups they use which is annoying

[Archetype0ne]

Anyone have success with right populations modelling Moroccans or Algerians i seem to be having a lot of trouble getting a working model

Not sure if there are papers published about this time period in N.Africa, but using their tale is the safest place to start.

I tried looking but from what I could see they use gp4pg or from what I recall some don’t even disclose the outgroups they use which is annoying

Did you try something simple? I know the first instinct is to stack the tail.

Try: Mbuti.DG GoyetQ116_1 MA1.SG Anatolia_Epipaleolithic Levant_PPN UKY

or

Mbuti.DG MA1.SG Villabruna Levant_PPN Russia_HG_Karelia Anatolia_N

This is what they were using for the neolithic Caucasus in the recent paper, there is a chance it will work.

Alternatively try something like this:

Here are the right-tail (reference) populations used in qpAdm analyses from three notable archeogenomic studies on North Africa:

1. Pleistocene North African Genomes Study (Loosdrecht et al., 2018): This study examined the genomes of ancient Iberomaurusian individuals from Taforalt, Morocco, dating to approximately 15,000 years ago. Their qpAdm analysis included right-tail reference populations such as Mbuti (Central African hunter-gatherers), Ust’-Ishim (a Paleolithic Siberian individual), East Asians, and early European populations. These references helped isolate sub-Saharan, European, and East Eurasian influences on North African genetics.
   
2. Testing Times: Disentangling Admixture Histories (2022): This study focused on complex admixture in recent human history, including North African populations, and employed qpAdm right-tail groups such as West Eurasian populations, Han (East Asia), Ust’-Ishim, and Natufians (representing Levantine ancestry). These groups were chosen to represent the diversity of lineages contributing to North African ancestry across different historical periods.
   
3. The Etruscans’ Genetic Legacy with North African Ancestry Link: Although focused on the Etruscans, this research used North African populations as part of its qpAdm analysis to investigate ancestry connections. Right-tail references included groups like Natufians, Anatolian Neolithic farmers, Kostenki14 (an ancient European), and African groups such as the Mbuti, providing a comparative framework to understand North African genetic influence on Mediterranean populations.
   

Not sure how reliable, since I have not read the papers myself.

[Genetics189291]

Not sure if there are papers published about this time period in N.Africa, but using their tale is the safest place to start.

I tried looking but from what I could see they use gp4pg or from what I recall some don’t even disclose the outgroups they use which is annoying

Did you try something simple? I know the first instinct is to stack the tail.

Try: Mbuti.DG GoyetQ116_1 MA1.SG Anatolia_Epipaleolithic Levant_PPN UKY

or

Mbuti.DG MA1.SG Villabruna Levant_PPN Russia_HG_Karelia Anatolia_N

This is what they were using for the neolithic Caucasus in the recent paper, there is a chance it will work.

Alternatively try something like this:

Here are the right-tail (reference) populations used in qpAdm analyses from three notable archeogenomic studies on North Africa:

1. Pleistocene North African Genomes Study (Loosdrecht et al., 2018): This study examined the genomes of ancient Iberomaurusian individuals from Taforalt, Morocco, dating to approximately 15,000 years ago. Their qpAdm analysis included right-tail reference populations such as Mbuti (Central African hunter-gatherers), Ust’-Ishim (a Paleolithic Siberian individual), East Asians, and early European populations. These references helped isolate sub-Saharan, European, and East Eurasian influences on North African genetics.
   
2. Testing Times: Disentangling Admixture Histories (2022): This study focused on complex admixture in recent human history, including North African populations, and employed qpAdm right-tail groups such as West Eurasian populations, Han (East Asia), Ust’-Ishim, and Natufians (representing Levantine ancestry). These groups were chosen to represent the diversity of lineages contributing to North African ancestry across different historical periods.
   
3. The Etruscans’ Genetic Legacy with North African Ancestry Link: Although focused on the Etruscans, this research used North African populations as part of its qpAdm analysis to investigate ancestry connections. Right-tail references included groups like Natufians, Anatolian Neolithic farmers, Kostenki14 (an ancient European), and African groups such as the Mbuti, providing a comparative framework to understand North African genetic influence on Mediterranean populations.
   

Not sure how reliable, since I have not read the papers myself.

I found this paper with a weird model 

They modelled the Guanches as Morocco ln, Morocco en, Ethiopia_4500 and Germany bell beaker but no mention of the outgroups. I’ll try some of these right groups you listed to see if they are working

[Genetics189291]

Not sure if there are papers published about this time period in N.Africa, but using their tale is the safest place to start.

I tried looking but from what I could see they use gp4pg or from what I recall some don’t even disclose the outgroups they use which is annoying

Did you try something simple? I know the first instinct is to stack the tail.

Try: Mbuti.DG GoyetQ116_1 MA1.SG Anatolia_Epipaleolithic Levant_PPN UKY

or

Mbuti.DG MA1.SG Villabruna Levant_PPN Russia_HG_Karelia Anatolia_N

This is what they were using for the neolithic Caucasus in the recent paper, there is a chance it will work.

Alternatively try something like this:

Here are the right-tail (reference) populations used in qpAdm analyses from three notable archeogenomic studies on North Africa:

1. Pleistocene North African Genomes Study (Loosdrecht et al., 2018): This study examined the genomes of ancient Iberomaurusian individuals from Taforalt, Morocco, dating to approximately 15,000 years ago. Their qpAdm analysis included right-tail reference populations such as Mbuti (Central African hunter-gatherers), Ust’-Ishim (a Paleolithic Siberian individual), East Asians, and early European populations. These references helped isolate sub-Saharan, European, and East Eurasian influences on North African genetics.
   
2. Testing Times: Disentangling Admixture Histories (2022): This study focused on complex admixture in recent human history, including North African populations, and employed qpAdm right-tail groups such as West Eurasian populations, Han (East Asia), Ust’-Ishim, and Natufians (representing Levantine ancestry). These groups were chosen to represent the diversity of lineages contributing to North African ancestry across different historical periods.
   
3. The Etruscans’ Genetic Legacy with North African Ancestry Link: Although focused on the Etruscans, this research used North African populations as part of its qpAdm analysis to investigate ancestry connections. Right-tail references included groups like Natufians, Anatolian Neolithic farmers, Kostenki14 (an ancient European), and African groups such as the Mbuti, providing a comparative framework to understand North African genetic influence on Mediterranean populations.
   

Not sure how reliable, since I have not read the papers myself.

Took some right populations from a Arab paper I saw and added to it this is what I got